Instructions to use yali98/x_sum_lambda1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yali98/x_sum_lambda1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("yali98/x_sum_lambda1") model = AutoModel.from_pretrained("yali98/x_sum_lambda1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3b35e8bd984a9e95371aa529cca95bdc0ece3995bb853073d6c94b7f9b68628b
- Size of remote file:
- 4.22 kB
- SHA256:
- 5d0266a8d036ec1524f4d2b753e4309a6e87f171ef7ca6e0f9558f76b1b7eb7d
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